PHPCLANCHILDES with regular expressions

4 matches in 4 utterances

3.10 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (384 utterances, 1,290 words searched).

  1. so it needs to go that way , does it ? MOT · eng_british_Manchester_I/becky21a.cha, line 91 · Becky 2;07
  2. so you need another one of those , don't you ? MOT · eng_british_Manchester_I/becky21a.cha, line 317 · Becky 2;07
  3. so don't pinch my face . MOT · eng_british_Manchester_I/becky21a.cha, line 1268 · Becky 2;07
  4. we didn't realize there were so many pages coming out . MOT · eng_british_Manchester_I/becky21a.cha, line 1395 · Becky 2;07
  1. MOThave I ?
    CHImmhm .
    MOT*MOT: so it needs to go that way , does it ?
    CHIyes .
    MOToh .
  2. MOTit's blue .
    CHIand me [=? we] have some blue eyes .
    MOT*MOT: so you need another one of those , don't you ?
    CHIthere they are .
    MOThere .
  3. CHIyou're a lovey dovey@wp now .
    MOTthank you , Becky .
    MOT*MOT: so don't pinch my face .
    MOTthese tights are too small for you now , aren't they ?
    MOTdon't please .
  4. MOTwell .
    MOTI don't know whether we're gonna [: going to] put sticky tape on all these .
    MOT*MOT: we didn't realize there were so many pages coming out .
    CHIcan we um fix the baa+sheep ?
    MOTthe baa+sheep ?

Matches by age

One dot per transcript: matches per 1,000 words of everyone but CHI. Dots of the same child are joined.

Matches by child

Matches per 1,000 words, all transcripts of each child together, highest first.

  1. Becky eng_british_Manchester_I3.10
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/becky21a.chaBecky 2;7.021,290443.10

What the pattern matched

1 different forms (lowercased). Useful to see what a pattern really catches: unexpected forms here usually mean the pattern is too broad.

  1. so4 · 100.0%